3499 papers
Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.
At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.
Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.
This paper demonstrates that lateral periodic boundary conditions in molecular simulations of interfacial polar media introduce an unscreened zero-mode that causes unphysical, diverging potential fluctuations scaling with system depth or inversely with lateral area, and provides an analytic criterion to select appropriate lateral cell dimensions to avoid this artifact.
This review consolidates the symmetry classification, candidate materials, and engineering strategies for two-dimensional altermagnets to guide future experimental efforts in this emerging spintronic field.
This study employs mesoscale finite element modelling to demonstrate that while increasing loading ramp rates, internal friction, and confining pressure all enhance the dynamic strength of concrete, only higher loading ramp rates significantly amplify the strain-rate effect by inducing pronounced damage in both mortar and aggregate phases, whereas the other factors weaken this effect primarily through the mortar phase.
This paper reports that the layered diluted magnetic semiconductor (Ba,K)(Cd,Mn)As exhibits bulk ferromagnetism and a colossal negative magnetoresistance of approximately -100% at low fields, establishing it as a promising platform for low-temperature magnetoresistive applications.
This study utilizes in situ cryo-confocal fluorescence microscopy to elucidate the coupled dynamics of gas bubble nucleation, growth, and entrapment at the solidification front of carbonated water, revealing how these processes depend on solidification velocity and gas diffusion to establish critical conditions for bubble formation.
This study demonstrates that thermally-activated epitaxy at temperatures exceeding 1000°C enables the reproducible growth of high-quality NbO films with superior structural and transport properties, thereby establishing a prototypical understanding of NbO's electrical behavior and highlighting the utility of high-temperature synthesis for refractory metal compounds.
This paper introduces a model charge density approach to Ewald summations that accelerates convergence by canceling multipole moments of the crystalline charge distribution, a method validated on gallium arsenide and shown to clarify long-standing implementations in the CRYSTAL code.
This paper demonstrates that incorporating quantum-chemical bonding descriptors into machine learning models significantly improves the prediction of elastic, vibrational, and thermodynamic properties of approximately 13,000 solid-state materials while also enabling the discovery of intuitive physical expressions for these properties.
This paper establishes a unified framework connecting non-Hermitian Zeeman quantum geometry, local Dirac-node topology, and measurable transport signatures by demonstrating that the Zeeman quantum geometric tensor decomposes into normal and anomalous sectors, where the latter reveals a novel curvature-flux representation of local topology and distinct linear response scalings.
This study employs numerical simulations based on modified Fick's law and dynamic bond percolation to model solvent diffusion during the solvothermal exfoliation of transition metal dichalcogenides, revealing how diffusivity and reaction time influence nanoparticle size evolution, uniformity, and saturation through entropy analysis.